Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Missouri

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Highest Birth Rate | Below Poverty
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Missouri
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Missouri

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Missouri Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Missouri

Zip Code Births / 1,000 Women vs State vs National
1.657831,000.056.0(+944)#153.0(+947)#27
2.646721,000.056.0(+944)#253.0(+947)#37
3.640921,000.056.0(+944)#353.0(+947)#51
4.65702714.056.0(+658)#453.0(+661)#84
5.64422696.056.0(+640)#553.0(+643)#92
6.65287682.056.0(+626)#653.0(+629)#97
7.63387462.056.0(+406)#753.0(+409)#206
8.63454461.056.0(+405)#853.0(+408)#208
9.65280421.056.0(+365)#953.0(+368)#232
10.65675400.056.0(+344)#1053.0(+347)#263
11.63952373.056.0(+317)#1153.0(+320)#304
12.65624362.056.0(+306)#1253.0(+309)#319
13.64455333.056.0(+277)#1353.0(+280)#369
14.65657324.056.0(+268)#1453.0(+271)#398
15.63039306.056.0(+250)#1553.0(+253)#437
16.63735300.056.0(+244)#1653.0(+247)#451
17.65654296.056.0(+240)#1753.0(+243)#467
18.65620291.056.0(+235)#1853.0(+238)#483
19.63653278.056.0(+222)#1953.0(+225)#532
20.63430273.056.0(+217)#2053.0(+220)#550
21.63824273.056.0(+217)#2153.0(+220)#552
22.65085245.056.0(+189)#2253.0(+192)#690
23.64021239.056.0(+183)#2353.0(+186)#722
24.63782236.056.0(+180)#2453.0(+183)#739
25.65662232.056.0(+176)#2553.0(+179)#757
26.64661220.056.0(+164)#2653.0(+167)#841
27.65011210.056.0(+154)#2753.0(+157)#885
28.63781209.056.0(+153)#2853.0(+156)#892
29.65446207.056.0(+151)#2953.0(+154)#911
30.64778207.056.0(+151)#3053.0(+154)#912
31.64840205.056.0(+149)#3153.0(+152)#922
32.65535202.056.0(+146)#3253.0(+149)#957
33.64402200.056.0(+144)#3353.0(+147)#976
34.65243196.056.0(+140)#3453.0(+143)#1,028
35.64748195.056.0(+139)#3553.0(+142)#1,040
36.65790195.056.0(+139)#3653.0(+142)#1,041
37.64723194.056.0(+138)#3753.0(+141)#1,055
38.65305191.056.0(+135)#3853.0(+138)#1,083
39.64136188.056.0(+132)#3953.0(+135)#1,119
40.63539188.056.0(+132)#4053.0(+135)#1,124
41.64443186.056.0(+130)#4153.0(+133)#1,148
42.65773185.056.0(+129)#4253.0(+132)#1,168
43.64844184.056.0(+128)#4353.0(+131)#1,171
44.65640183.056.0(+127)#4453.0(+130)#1,184
45.63784182.056.0(+126)#4553.0(+129)#1,199
46.65650181.056.0(+125)#4653.0(+128)#1,205
47.65050179.056.0(+123)#4753.0(+126)#1,230
48.64688179.056.0(+123)#4853.0(+126)#1,231
49.65582177.056.0(+121)#4953.0(+124)#1,251
50.64499176.056.0(+120)#5053.0(+123)#1,274
51.63660172.056.0(+116)#5153.0(+119)#1,327
52.64622172.056.0(+116)#5253.0(+119)#1,338
53.63785170.056.0(+114)#5353.0(+117)#1,368
54.63437167.056.0(+111)#5453.0(+114)#1,421
55.63465167.056.0(+111)#5553.0(+114)#1,427
56.65623167.056.0(+111)#5653.0(+114)#1,456
57.65689166.056.0(+110)#5753.0(+113)#1,460
58.65084164.056.0(+108)#5853.0(+111)#1,481
59.64674164.056.0(+108)#5953.0(+111)#1,492
60.64874163.056.0(+107)#6053.0(+110)#1,504
61.65761161.056.0(+105)#6153.0(+108)#1,536
62.65710159.056.0(+103)#6253.0(+106)#1,575
63.64632159.056.0(+103)#6353.0(+106)#1,582
64.63120158.056.0(+102)#6453.0(+105)#1,589
65.63353158.056.0(+102)#6553.0(+105)#1,590
66.65732158.056.0(+102)#6653.0(+105)#1,598
67.65077157.056.0(+101)#6753.0(+104)#1,624
68.63543157.056.0(+101)#6853.0(+104)#1,626
69.65463156.056.0(+100.0)#6953.0(+103)#1,633
70.63548154.056.0(+98.0)#7053.0(+101)#1,664
71.65064154.056.0(+98.0)#7153.0(+101)#1,666
72.64633153.056.0(+97.0)#7253.0(+100.0)#1,680
73.63620148.056.0(+92.0)#7353.0(+95.0)#1,794
74.63770148.056.0(+92.0)#7453.0(+95.0)#1,802
75.65632146.056.0(+90.0)#7553.0(+93.0)#1,833
76.63071146.056.0(+90.0)#7653.0(+93.0)#1,838
77.64657143.056.0(+87.0)#7753.0(+90.0)#1,929
78.64441143.056.0(+87.0)#7853.0(+90.0)#1,936
79.64648142.056.0(+86.0)#7953.0(+89.0)#1,948
80.65014141.056.0(+85.0)#8053.0(+88.0)#1,970
81.63530141.056.0(+85.0)#8153.0(+88.0)#1,973
82.65349139.056.0(+83.0)#8253.0(+86.0)#2,028
83.65767139.056.0(+83.0)#8353.0(+86.0)#2,030
84.65722139.056.0(+83.0)#8453.0(+86.0)#2,037
85.63648138.056.0(+82.0)#8553.0(+85.0)#2,066
86.65762138.056.0(+82.0)#8653.0(+85.0)#2,073
87.64430137.056.0(+81.0)#8753.0(+84.0)#2,099
88.63390135.056.0(+79.0)#8853.0(+82.0)#2,146
89.65622135.056.0(+79.0)#8953.0(+82.0)#2,147
90.65764135.056.0(+79.0)#9053.0(+82.0)#2,164
91.64428135.056.0(+79.0)#9153.0(+82.0)#2,169
92.63079135.056.0(+79.0)#9253.0(+82.0)#2,182
93.64779134.056.0(+78.0)#9353.0(+81.0)#2,197
94.64137133.056.0(+77.0)#9453.0(+80.0)#2,214
95.63664131.056.0(+75.0)#9553.0(+78.0)#2,284
96.65652130.056.0(+74.0)#9653.0(+77.0)#2,310
97.64077130.056.0(+74.0)#9753.0(+77.0)#2,322
98.63352130.056.0(+74.0)#9853.0(+77.0)#2,332
99.65025130.056.0(+74.0)#9953.0(+77.0)#2,337
100.63828130.056.0(+74.0)#10053.0(+77.0)#2,351

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Missouri?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Missouri are:
#1
1,000.0
#2
1,000.0
#3
1,000.0
#4
714.0
#5
696.0
#6
682.0
#7
462.0
#8
461.0
#9
421.0
#10
400.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Missouri?
65783 has the Most Births per 1,000 Women Below Poverty Level in Missouri with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Missouri?
Number of Births per 1,000 Women Below Poverty Level in Missouri is 56.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.